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2010 USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented should only be used as...
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The Appalachian Trail (AT), a 14-state footpath from Maine to Georgia, is a unit of the National Park Service that is cooperatively managed and maintained by the National Park Service (NPS), the Appalachian Trail Conservancy, AT Club volunteers, the USDA Forest Service, and other public land-management agencies. Upper elevation and ridge-top ecosystems, which comprise much of the trail corridor, have been impacted by and remain extremely sensitive to acidic deposition. Ridgetop soils that are often low in calcium make the ecosystems of the AT more sensitive to acidic deposition than other ecosystems. Furthermore, upper elevations tend to receive the highest levels of deposition. In areas along the AT, such...
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This is part of a 3-tiered dataset consisting ofIDS_shapes: footprint polygon featuresIDS_attrib: attribute descriptions of polygonsIDS_rollup: lookup information for features that are summarized as a group (rollup)This dataset is a compilation of forest insect, disease and abiotic damage mapped by aerial detection surveys on forested areas in the United States. At this time, the National Aerial Survey Data Standards require only mortality and defoliation data be collected and reported. However, many cooperators collect data on other types of damage and therefore, the national database has been designed to accommodate these data. Low-level flights, typically 1,000 to 2,000 feet above ground level, are used to map...
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2010 USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented should only be used as...
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2010 USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented should only be used as...
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2010 USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented should only be used as...
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Problem - Acidic precipitation has affected forested and aquatic ecosystems in New York, particularly in the Adirondack and Catskill regions. Acidification of surface waters and deleterious effects on fish and other biota have been well documented in both these regions. Despite reduced levels of acidity in atmospheric deposition over the past 20 years across New York and the northeastern United States, the most acid-sensitive streams and lakes have not yet begun to recover, and many show continued declines in acid-neutralizing capacity, an indicator acid-base status. Many studies have documented the effects of acid precipitation in New York, but thus far, there has been no comprehensive effort to synthesize and...
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ADS Spruce Budworm Data. USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented should...
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2010 USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented should only be used as...
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The growth of temperate forests is typically limited by the availability of nitrogen. Elevated concentrations of nitrate in some Catskill Mountain streams, which are tributary to New York City's water-supply reservoirs west of the Hudson River, indicate that the forests of this region are at the early stages of nitrogen saturation. That is, nitrogen is available in excess of the amount utilized by vegetation and soil microorganisms in the forests. Nitrogen saturation is a concern because the mobile nitrate that moves through soil is accompanied by other nutrients such as the base cations calcium and magnesium that are necessary for forest growth but are present in short supply in some Catskill soils. And, nutrient...
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This is part of a 3-tiered dataset consisting ofIDS_shapes: footprint polygon featuresIDS_attrib: attribute descriptions of polygonsIDS_rollup: lookup information for features that are summarized as a group (rollup)This dataset is a compilation of forest insect, disease and abiotic damage mapped by aerial detection surveys on forested areas in the United States. At this time, the National Aerial Survey Data Standards require only mortality and defoliation data be collected and reported. However, many cooperators collect data on other types of damage and therefore, the national database has been designed to accommodate these data. Low-level flights, typically 1,000 to 2,000 feet above ground level, are used to map...
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The overall goal of this project has been the development of forest health and sensitivity indicators and “1st-generation” maps of potential sensitivity to disturbance for lands within watersheds of the NYC water supply in the Catskill Mountains of New York. The methodologies and data layers created in this effort can now be used to aid management decisions and help determine the extent and magnitude of terrestrial and aquatic responses to acidic deposition. The data products derived from this effort have been produced and documented in such a manner that stakeholders can now use these products for site evaluation as well as to perform more extensive analysis on the suite of readily available GIS and image-based...
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This is part of a 3-tiered dataset consisting ofIDS_shapes: footprint polygon featuresIDS_attrib: attribute descriptions of polygonsIDS_rollup: lookup information for features that are summarized as a group (rollup)This dataset is a compilation of forest insect, disease and abiotic damage mapped by aerial detection surveys on forested areas in the United States. At this time, the National Aerial Survey Data Standards require only mortality and defoliation data be collected and reported. However, many cooperators collect data on other types of damage and therefore, the national database has been designed to accommodate these data. Low-level flights, typically 1,000 to 2,000 feet above ground level, are used to map...
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2010 USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented should only be used as...
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ADS Mountain Pine Beelte Data. USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented...
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2009 USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. "Flown/ not flown" (r209_flown) feature class. This data depicts the spatial extent where the 2009 aerial detection survey took place. This data set is a companion to the r209_dmg data, which depicts the occurrence and location of 2009 forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. The r209_flown data set provides information on which areas were surveyed, when the areas were surveyed, who the surveyors were (and their respective agencies), and what type of survey took place. Air turbulence, cloud shadows, distance from aircraft, haze, smoke, etc., which affect survey accuracies, may also...
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2010 USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented should only be used as...